55 Hrs
3642+ Enrollments
Data Science With Python Training
The Data Science with Python Training course is a comprehensive program that covers essential topics such as data analysis, data visualization, machine learning, and deep learning using Python. Our experienced trainers will provide you with hands-on experience and practical knowledge to help you master these skills.
Data Science With Python Training
Overview of Course
Data Science with Python Training is an advanced-level course designed for individuals seeking to enhance their skills in data science, statistics, and programming. This course will equip you with the knowledge and skills necessary to tackle complex data challenges using Python programming language.
Course Highlights
Hands-on experience with real-world datasets
In-depth knowledge of data analysis, data visualization, and machine learning algorithms
Expert-led training with personalized guidance and support<br /><br />
Key Differentiators
Personalized Learning with Custom Curriculum
Training curriculum to meet the unique needs of each individual
-
Trusted by over 100+ Fortune 500 Companies
We help organizations deliver right outcomes by training talent
-
Flexible Schedule & Delivery
Choose between virtual/offline with Weekend options
-
World Class Learning Infrastructure
Our learning platform provides leading virtual training labs & instances
-
Enterprise Grade Data Protection
Security & privacy are an integral part of our training ethos
-
Real-world Projects
We work with experts to curate real business scenarios as training projects
Skills You’ll Learn
Understanding of data analysis, data visualization, and machine learning algorithms
Proficiency in Python programming language
Ability to use Python libraries for data manipulation, cleaning, and analysis
Knowledge of data preprocessing techniques and statistical analysis
Hands-on experience with real-world datasets and practical data science projects
Training Options
1-on-1 Training
Access to live online classes- Flexible schedule including weekends
- Hands-on exercises with virtual labs
- Session recordings and learning courseware included
- 24X7 learner support and assistance
- Book a free demo before you commit!
Corporate Training
- Everything in 1-on-1 Training plus
- Custom Curriculum
- Extended access to virtual labs
- Detailed reporting of every candidate
- Projects and assessments
- Consulting Support
- Training aligned to business outcomes
Unlock Organizational Success through Effective Corporate Training: Enhance Employee Skills and Adaptability- Choose customized training to address specific business challenges and goals, which leads to better outcomes and success.
- Keep employees up-to-date with changing industry trends and advancements.
- Adapt to new technologies & processes and increase efficiency and profitability.
- Improve employee morale, job satisfaction, and retention rates.
- Reduce employee turnovers and associated costs, such as recruitment and onboarding expenses.
- Obtain long-term organizational growth and success.
Course Reviews
Curriculum
- Operating system requirements
- Installing required software and libraries
- Configuration and setup instructions
- Troubleshooting common issues
- Introduction to Python programming language
- Basic syntax and data types
- Control structures (loops and conditional statements)
- Functions and modules
- Input/output operations
- Object-oriented programming (OOP) in Python
- Working with classes and objects
- Inheritance and polymorphism
- Exception handling
- Best practices in Python programming
- Introduction to web scraping and web crawling
- Basics of HTML and CSS
- Using Python libraries for web scraping (e.g. BeautifulSoup, Requests)
- Advanced web scraping techniques (e.g. dynamic web pages, cookies)
- Using APIs to access web data
- Working with JSON and XML data formats
- Introduction to databases and database management systems
- Types of databases (relational, NoSQL, etc.)
- Data modeling and schema design
- Data normalization
- Introduction to SQL (Structured Query Language)
- Querying and modifying data in a relational database
- Joins, subqueries, and aggregation functions
- Creating and managing database objects (tables, indexes, views, etc.)
- Introduction to data analysis and visualization
- Data exploration and cleaning
- Data visualization with Python libraries (e.g. Matplotlib, Seaborn)
- Advanced data visualization techniques (e.g. interactive visualizations, geospatial data)
- Exploratory data analysis (EDA)
- Statistical analysis and hypothesis testing
- Machine learning for data analysis and prediction
- Supervised and unsupervised learning algorithms
- Model selection and evaluation
- Model deployment and monitoring
- Introduction to network analysis
- Types of networks (social, transportation, communication, etc.)
- Network modeling and representation
- Network metrics and analysis techniques
- Introduction to machine learning
- Types of machine learning algorithms (supervised, unsupervised, reinforcement learning)
- Feature selection and engineering
- Model training and evaluation
- Advanced machine learning techniques (e.g. deep learning, ensemble methods)
- Neural networks and deep learning frameworks (e.g. TensorFlow, PyTorch)
- Natural language processing (NLP) and computer vision
- Best practices in machine learning
Meet the instructor and learn about the course content and teaching style.- Make informed decisions about whether to enroll in the course or not.
- Get a perspective with a glimpse of what the learning process entails.
Description
Target Audience:
- Professionals seeking to enhance their data science skills
- IT professionals interested in data science and machine learning
- Students pursuing a career in data science
Prerequisite:
- Basic knowledge of programming concepts
- Familiarity with mathematics and statistics is an added advantage
Benefits of the course:
- Enhance your skills in data science, statistics, and programming
- Learn from industry experts with years of experience in the field
- Hands-on experience with real-world datasets
- Opportunity to work on a capstone project
- Certificate of completion upon successful completion of the course
Exam details to pass the course:
- There is no formal exam to pass the course.
- However, you will be required to complete a capstone project to demonstrate your proficiency in data science and Python programming.
Certification path:
- Upon successful completion of the course, you will receive a certificate of completion from Skillzcafe.
- However, there are no other certifications required to learn this course.
Career options after doing the course:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Business Analyst
- Data Engineer
Why should you take this course from Skillzcafe:
Experienced trainers with years of industry experience- Comprehensive coverage of data science concepts and Python programming language
- Hands-on experience with real-world datasets and practical projects
- Flexible learning options with online and offline training modes
- Certificate of completion upon successful completion of the course
FAQs
The course duration is approximately 55 hours.
Yes, you will have lifetime access to the course material after completing the course.
Yes, you will need to install Python and Anaconda on your computer to complete this course.
You will work on a capstone project at the end of the course, where you will apply your data science skills to solve a real-world problem.
Basic knowledge of programming concepts is recommended, and familiarity with mathematics and statistics is an added advantage.
Yes, Skillzcafe offers a 30-day money-back guarantee if you are not satisfied with the course.
Yes, this course is suitable for beginners in data science who have basic programming knowledge. The course covers the essential concepts of data science and Python programming from scratch.
Yes, you will receive personalized guidance and support from our experienced trainers throughout the course. You can also reach out to our support team for any queries or issues during the course.
Provide your workforce with top-tier corporate training programs that empower them to succeed. Our programs, led by subject matter experts from around the world, guarantee the highest quality content and training that align with your business objectives.
-
1500+
Certified Trainers
-
200+
Technologies
-
2 Million+
Trained Professionals
-
99%
Satisfaction Score
-
2000+
Courses
-
120+
Countries
-
180+
Clients
-
1600%
Growth
Live Chat